Many retirees focus on achieving a high Monte Carlo “probability of success” in retirement—but is chasing a 99% success rate always the best move? In this episode, James highlights a real-life story of a man forced to delay retirement after a divorce dropped his probability of success from 99% to 70%. James explores why this single number shouldn't drive such massive decisions. He explains how context—like income sources, spending flexibility, and home equity—matters more than a static success rate. You’ll learn why 100% isn’t always ideal, and how to build a retirement plan that supports a meaningful life, not just a perfect score.Questions answered?1. Should I delay retirement if my Monte Carlo probability of success drops?
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Timestamps:0:00 - An encounter at the gym2:37 - What is Monte Carlo analysis?4:18 - Consider severity of failure6:19 - Consider other assets, like property7:35 - Is a 100% probability score really success?10:55 - Monitor and course correct14:13 - Margin15:07 - No universal number16:13 - Assumptions about spending18:27 - Retirement spending smile20:57 - Context matters
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